基于GPS动态监测数据的EMD信息提取

为了有效提取GPS动态监测数据中的有效信息,该文将经验模态分解应用于高层建筑物GPS动态监测数据处理中。经验模态分解的关键是判断各本征模态函数的性质,该文将自相关函数法、能量值法、频谱法、累积均值法等四种判断准则应用于经验模态分解中的本征模态函数判定。结果发现:不同判断准则得出的结果存在差异,累计均值法和能量值法可以直接判定结果,而自相关函数法和频谱分析法则要结合实际分析,在实际应用中要综合判断。

EMD Information Extraction Based on GPS Dynamic Monitoring Data

In order to effectively extract the useful information from GPS dynamic monitoring data,in this paper,the empirical mode decomposition is used to GPS dynamic monitoring data processing in highrise buildings. The key of empirical mode decomposition is to judge the properties of each eigenmode function. In this paper,four kinds of judgment criteria,such as autocorrelation function method,energy value method,spectrum method and cumulative mean method,are applied to judge the eigenmode function in empirical mode decomposition. The results show that there are differences in the results by different judgment criteria. The cumulative mean method and the energy value method can directly judge the results,while the autocorrelation function method and the spectrum analysis method should be combined with the actual analysis,and the actual application should be judged comprehensively.